李翔宇 照片

李翔宇

副教授

所属大学: 南京理工大学

所属学院: 计算机科学与工程学院

邮箱:
wl@njust.edu.cn

个人主页:
http://202.119.85.163/open/TutorInfo.aspx?dsbh=hSVCTxwwD8LW21L8yFYmFQ==&yxsh=4iVdgPyuKTE=&zydm=fY2NaWnaNpk=

个人简介

工作经历 2015.06至今,副教授,南京理工大学 2014.02-2015.06,副研究员(Research Associate),香港城市大学

教育经历 2010.08-2014.02,博士,香港城市大学 2007.09-2010.07,工学硕士,中国科学技术大学 2017.08-2017.09,访问学者,欧洲微电子中心(比利时) 2013.05-2013.07,访问学者,东京大学VLSI设计中心(日本) 2011.08-2012.02,访问学者,南加州大学Viterbi工程学院(美国)

研究领域

计算机科学与技术;电子科学与技术;控制科学与工程

近期论文

ASIC implementation of a nonlinear dynamical model for hippocampal prosthesis, Neural Computation, vol. 30, pp. 2472-2499, 2018.

Toward implementing multichannels, ring-oscillator-based, Vernier time-to-digital converter in FPGAs: Key design points and construction method, IEEE Transactions on Radiation and Plasma Medical Sciences, pp. 391-299, 2017.

Functional brain networks reconstruction using group sparsity-regularized learning, Brain Imaging and Behavior, DOI 10.1007/s11682-017-9737-4, 2017.

Evaluating functional connectivity of executive control network and frontoparietal network in Alzheimer's disease, Brain Research, pp. 262-272, 2017.

FPGA-based high-performance collision detection: an enabling technique for image-guided robotic surgery, Frontiers in Robotics and AI, DOI: 10.3389/frobt.2016.00051, 2016.

A high-linearity, ring-oscillator-based, Vernier time-to-digital converter utilizing carry chains in FPGAs, IEEE Transactions on Nuclear Science, pp. 697-704, 2016.

Learning arbitrary-shape object detector from bounding-box annotation by searching region-graph, Pattern Recognition Letters, 2016.

An FPGA-based high-performance neural ensemble spiking activity simulator utilizing generalized Volterra kernel and complexity analysis, Journal of Circuits Systems and Computers, vol. 25, no. 1, 2016.